Itô Inference

Serve a model on rented Itô metal by delegating to the canonical Itô compute backend (Layer 0.2). ECC does not implement a parallel serving stack, launch adapter, or inference server, and does no browser automation. This skill chains off a completed booking produced by ito-compute; it never books, reserves, or spends.

Prerequisite

A completed booking from the ito-compute skill: booking id, node IPs, SSH access, GPU SKU, node count, and fabric, already recorded in harness memory. Without a booking record, stop — this skill does not provision.

Delegation

ECC calls the canonical backend through the ecc ito bridge; it never re-implements serving. Authenticate once with ecc ito login (device authorization; no key in arguments, files, logs, or chat), exactly as ito-compute documents.

ecc ito serve \
  --booking <booking-id> \
  --model <hf-model-id> \
  [--quantization <scheme>] \
  [--ttft-ms <target>] [--tpot-ms <target>]

The --ttft-ms / --tpot-ms SLO is optional; supplying it turns on disaggregated prefill/decode, which is off by default.

What the backend does (Layer 0.2)

The desk backend, not ECC, runs the stages, and this skill only reports them:

1. Fabric gate — never launch on unverified metal. Blocks below 80% of fabric-expected bus bandwidth; advisory between 80% and 92%; fails loud on silent NCCL socket fallback.
2. Weights download and shard to the serving layout (desk-side sharded cache keyed by model, quantization, TP degree).
3. Topology plan (AIConfigurator): TP inside the NVLink domain, PP across nodes; engine flags emitted as a reviewable file before launch.
4. Launch (vLLM, Dynamo when disaggregating) under systemd, warmup, SLO canary, and registration of the endpoint URL and config to Graphiti memory.

Unavailable today

The serving operation is not yet wired: the canonical CLI's inference verb and the desk serve-on-booking backend are scaffolds. Until they land, this skill reports the missing capability and stops. Never substitute a local runner or a purchase endpoint.